Senior Equity Quant Researcher – Alpha & Platform

Citigroup Inc.; Greater London; Hybrid; GBP 90,000 - 160,000; Full time

Benefits offered by this job

Hybrid working model

Professional development

Healthcare & wellbeing benefits

Job summary

Citigroup Inc. in London seeks an Equity Quantitative Research Analyst to join its Equity Research team. You will develop quantitative models, integrate macro insights, and build scalable research tools for institutional clients.

The role emphasizes cross-functional collaboration with senior analysts, machine learning, and platform development to translate data into differentiated investment insights for asset managers, pension funds, and hedge funds.

Qualifications

• Undergraduate degree with significant quantitative research experience or MSc/MEng / PhD in a quantitative discipline.
• Proficiency in programming languages (R/Python/Java) and modern quantitative libraries; SQL preferred.
• Familiarity with source control tooling (Git) and software engineering practices desirable.
• Strong understanding of equity market structure and time-series modelling for alpha generation.

Responsibilities

• Develop, enhance, and maintain quantitative models to identify investment opportunities across global equity markets.
• Contribute to client-facing research and publish high-impact reports and market updates.
• Design and evolve the quantitative equity research platform with scalable infrastructure and AI capabilities.
• Provide bespoke quantitative analyses to support internal and external stakeholders.

Skills

Quantitative research

Machine learning

Data analysis

Communication

Education

Undergraduate degree in a quantitative field

MSc/MEng / PhD in Quantitative Finance/Statistics/ Econometrics/ CS/ Engineering/ Physics

Tools

R

Python

Java

SQL

Git

Job description

Citigroup Inc. in London seeks an Equity Quantitative Research Analyst to join its Equity Research team. You will develop quantitative models, integrate macro insights, and build scalable research tools for institutional clients.

The role emphasizes cross-functional collaboration with senior analysts, machine learning, and platform development to translate data into differentiated investment insights for asset managers, pension funds, and hedge funds.